Results 171 to 180 of about 7,283 (217)
Multifractal Analysis of SARS-CoV-2 Coronavirus genomes using the wavelet transform
Ouadfeul S.
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Multiscale phosphorus loss in farmland driven by precipitation: effects of farmland type. [PDF]
Shi K, Zhang H, Mei X, Liu B, Xiao Q.
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Multifractal evolution of shale fracture and pore structures under uniaxial compression. [PDF]
Wang Z +5 more
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Additomultiplicative Cascades Govern Multifractal Scaling Reliability Across Cardiac, Financial, and Climate Systems. [PDF]
Mangalam M, Watanabe E, Kiyono K.
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Fractal and multifractal analysis: A review
Medical Image Analysis, 2009Over the last years, fractal and multifractal geometries were applied extensively in many medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis and segmentation. Application of this geometry relies heavily on the estimation of the fractal features.
Nacim Betrouni
exaly +3 more sources
Multifractal analysis of pore images obtained from X-ray computed tomography (CT) was used to characterize the scaling properties of macropores in soils with different managements and their correspondence with macroscopic physical properties related with
Diego Soto-Gómez +2 more
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Multifractal analysis of earthquakes
pure and applied geophysics, 1992Multifractal properties of the epicenter and hypocenter distribution and also of the energy distribution of earthquakes are studied for California, Japan, and Greece. The calculated D q −q curves (the generalized dimension) indicate that the earthquake process is multifractal or heterogeneous in the fractal dimension.
Tadashi Hirabayashi +2 more
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Multifractals, texture, and image analysis
Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003Image analysis using texture and multifractal paradigms is addressed. Multifractal theory and its application to image description are discussed, and it is shown that this approach allows the discrete signal to be worked on directly. A system for texture classification that is based on a learning scheme and does not make use of any a priori model is ...
Lévy Véhel, Jacques +2 more
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Nonsimultaneous hierarchy: Multifractal analysis
Physical Review A, 1990We define a simple hierarchical model in two dimensions incorporating two independent and nonsimultaneous rescaling procedures in orthogonal directions. The multifractal framework and corresponding thermodynamic formalism necessary for analyzing models of this type are set up using the concept of partial dimensions, and the model is then analyzed.
, Amritkar, , Gupte
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Bootstrap for Empirical Multifractal Analysis
IEEE Signal Processing Magazine, 2007Multifractal analysis is becoming a standard statistical analysis technique. In signal processing, it mostly consists of estimating scaling exponents characterizing scale invariance properties. For practical purposes, confidence intervals in estimation and p values in hypothesis testing are of primary importance. In empirical multifractal analysis, the
Herwig Wendt +2 more
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